XLSTM vs LSTM: How the new LSTM Scale Sequence Prediction without Attention?

xLSTM: Extended Long Short-Term Memory

Table of Content

• Why LSTM?

• Addressing LSTM Limitations

• xLSTM Architecture

• Appendix

Why LSTM?

Sequential data is a type of data where the order of the elements matters. Examples include time series (e.g., stock prices, weather data), natural language text, and audio signals. Processing sequential data requires models capturing the dependencies between elements—, i.e., a memory that can store, process and retrieve the elements over time.

Read the full article